Call for Papers

International workshop on sustainable video technology for measurable and verifiable green streaming 2023 (SVT4GS23)

Due to the continuous increase in media usage over the Internet through video streaming offers, energy efficiency and sustainability in the production, distribution, and playback of digital media along the entire value chain are becoming increasingly important. A more technically efficient video streaming provides the basis for a more energy-efficient and thus more sustainable streaming value chain. The Green Streaming workshop considers all components along the streaming value chain in terms of their potential energy efficiency including A/V encoders, packaging, content delivery networks (CDN), A/V players and end devices. This requires innovative technologies and research work that define suitable measurement points and parameters, which build the foundation for required component-specific measurement data that can be collected and used to optimize the chain. Therefore, machine learning methods and AI (artificial intelligence) models can significantly improve, optimize, and support the subsequent processes and workflows. Green digital twins of a holistically considered streaming value chain can model the digital representation of the physical processes and thus provide the basis for the data to be compiled for a more sustainable video streaming. As a result, the International workshop on sustainable video technology for measurable and verifiable green streaming 2023 will present research work and technologies for a measurable and thus assessable streaming value chain that can enable sustainable operation and use of streaming content in terms of its carbon footprint in an automated, adaptive and self-learning manner. This workshop focuses on innovations, concepts, and energy-efficient solutions addressing the entire video streaming value chain from video creation to processing, delivery, and their usage on consumer devices.

SVT4GS23 will be hosted and organized as part of The 48th IEEE Conference on Local Computer Networks (LCN) 2023.

Topics of interest:

  • Content Production, Processing & Provisioning
    • Energy usage analysis for video encoding in the cloud
    • Content creation and production tool designs enabling energy efficiency
    • QoE optimization of streaming and their impacts on energy consumption
    • Energy-efficient orchestration of distributed cloud production systems
    • AI-based per-scene and contextual video encoding for sustainable video encoding
  • Video Delivery
    • Energy usage analysis for video streaming along the distribution path including content delivery networks, network equipment and consumer equipment (routers, switches, etc)
    • Comparison between traditional broadcast distribution networks and IP-based delivey
    • Unicast and multicast transmission tradeoffs
    • Design, analysis, and evaluation of enhanced adaptive bitrate (ABR) algorithms for green streaming
    • Green video streaming over 5G and 6G networks
    • Low-latency, quality, and energy-aware video streaming
    • AI and machine learning approaches for energy efficiency in video communication networks
    • Energy efficient approaches for video caching using content delivery networks and edge computing
    • Measurements supporting green and QoE-driven network management
  • Video Playback & Quality of Experience
    • Innovations in video playback and video players
    • Device APIs for sustainable media usage
    • AI approaches for analyzing and influencing user behavior to optimize energy consumption
    • Stream analytics and data analytics solutions
    • User behavior and awareness improving techniologies for a more sustainable video streaming usage
    • User engagement, QoE, and its relation to energy consumption
    • Empowering users to utilize greener streaming services

Submission Guidelines 

Full/research papers: up to 6 pages, including references
short / industry positioning/ work in progress papers: up to 4 pages, including references
Papers must include author names and affiliations for double-blind peer reviewing by the program committee, using LCN style format based on the author instructions, which you can find here:

Important Dates 

Extended deadlines!

Paper Submission Deadline: June 25, 2023 (old: May 31, 2023) (submit your full/short paper here)
Paper Acceptance Notification: July 10, 2023 (old: June 30, 2023)
Camera-ready Papers Due: July 20, 2023

Organizing Committee


Program Committee

  • Christian Timmerer, Alpen-Adria- Universität Klagenfurt, Austria
  • Fabian Linder ,TheChainless
  • Christoph Müller, Fraunhofer FOKUS
  • Frank Heineberg, RTL Deutschland
  • Kemal Görgülü, Arte
  • Peter Pogrzeba , Deutsche Telekom Laboratories
  • Stefan Pham, Fraunhofer FOKUS
  • Samira Afzal, Alpen-Adria- Universität Klagenfurt, Austria
  • Robert Seeliger, Fraunhofer FOKUS

Additional members to be announced